Browsing School of Food Technology, Nutrition and Bioengeneering (SFTNB) Collection by Subject "Machine learning"
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Developing a mobile application to predict maize storage losses
(Makerere University, 2022-04-11)Maize is among the major cereals produced in the world and yet suffers the highest percentage of post-harvest loss compared to other cereals with an annual estimate of 17% in Uganda. These losses are cumulative across the ... -
Development of a machine learning model to determine three ripeness stages of a mango fruit based on colour analysis and size (length, width).
(Makerere University, 2024)Mango is a tropical fruit that was very important fruit in the world of commercial trade. Their optimal eating quality depends heavily on their ripeness stage. Maturity of the mango fruit has been associated with size, ...